96.6% LongMemEval recall. Zero API calls. Local, free, open source.
milla-jovovich/mempalace
The highest-scoring AI memory system ever benchmarked. And it's free.
OpenMemory - AI Memory MCP Server for Coding Agents | Mem0
With OpenMemory, add persistent, project-aware memory to Cursor, Windsurf, and VS Code agents. Store preferences, patterns, and context that get retrieved automatically.
Mem0 - AI Memory Layer for your Agents & Apps | Persistent Context
Mem0 is the memory layer for AI agents and applications, enabling them to learn from past interactions and deliver personalized experiences.
I Benchmarked OpenAI Memory vs LangMem vs Letta (MemGPT) vs Mem0 for Long-Term Memory: Here’s How They Stacked Up
145 votes, 53 comments. Lately, I’ve been testing memory systems to handle long conversations in agent setups, optimizing for: Factual consistency…
Mem0 Research Paper: Token-Efficient Memory Algorithm
Benchmarked across LoCoMo, LongMemEval, and BEAM, achieves competitive accuracy while using under 7,000 tokens per retrieval call. For comparison, full-context approaches on these benchmarks routinely consume 25,000+ tokens per query.
Memvid - Give your AI Agent Photographic Memory
Replace complex RAG pipelines with a single portable file that gives every agent instant retrieval and long-term memory.
topoteretes/cognee
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
Woah. Letta vs Mem0. (For AI memory nerds)
365 votes, 55 comments. I’m an absolute AI memory nerd, and have probably read every proposal made about memory, and demoed virtually all of the…
CaviraOSS/OpenMemory
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
mem-agent: Equipping LLM Agents with Memory Using RL
The insights and the technical report behind Mem-Agent, our 4B model for persistent memory in LLMs
nanomem: An Extremely Simple, Inference-Time Memory Module
nanomem is an extremely simple, user-owned memory module that casts memory management as LLM calls / agent loops on a markdown file tree. You interact with the tree with natural language commands like nanomem add <fact>, nanomem retrieve <query>, and nanomem import <chatgpt>. As such, nanomem is by design interpretable, partitionable, portable, and versioned.
Memora scales agent memory to boost long-horizon productivity
AI agents can't remember past conversations. They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex. Memora solves this with a scalable memory system separating what’s stored from how it's retrieved.
Basic Memory
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
MemGPT
Memory-GPT (MemGPT) - Towards LLMs as Operating Systems - Teach LLMs to manage their own memory for unbounded context!